// DarkMark (C) 2019-2023 Stephane Charette <stephanecharette@gmail.com>

#pragma once

#include "DarkMark.hpp"


namespace dm
{
	/// A collection of filenames, paths, and various configuration settings needed to run DarkMark and darknet.
	class ProjectInfo final
	{
		public:

			std::string cfg_prefix;					///< The text that needs to be prefixed to configuration items, such as @p "project_12345_".
			std::string project_name;				///< e.g., @p flowers
			std::string	darknet_dir;				///< e.g., @p /home/bob/darknet
			std::string	project_dir;				///< e.g., @p /home/bob/nn/flowers
			std::string data_filename;				///< e.g., @p /home/bob/nn/flowers/flowers.data
			std::string names_filename;				///< e.g., @p /home/bob/nn/flowers/flowers.names
			std::string train_filename;				///< e.g., @p /home/bob/nn/flowers/flowers_train.txt
			std::string valid_filename;				///< e.g., @p /home/bob/nn/flowers/flowers_valid.txt
			std::string command_filename;			///< e.g., @p /home/bob/nn/flowers/flowers_train.sh
			std::string cfg_filename;				///< e.g., @p /home/bob/nn/flowers/flowers.cfg
			std::string	cfg_template;				///< e.g., @p /home/bob/darknet/cfg/yolov3-tiny.cfg

			bool		train_with_all_images;		///< should we train with *all* images, or should we use @ref training_images_percentage?
			double		training_images_percentage;	///< between 0.0 and 1.0
			bool		limit_validation_images;	///< truncate valid.txt to limit validation images
			int			image_width;				///< must be a multiple of 32 (416, 608, 832, ...)
			int			image_height;				///< must be a multiple of 32 (416, 608, 832, ...)
			int			batch_size;					///< e.g., @p 64
			int			subdivisions;				///< e.g., @p 8
			int			iterations;					///< number of iterations; e.g., @p 20,000
			float		learning_rate;				///< learning rate
			float		max_chart_loss;				///< maximum loss (Y-axis) to use when drawing chart.png

			/// Exactly 1 of the following 3 options must be set. @{
			bool		do_not_resize_images;		///< Do not resize or tile any images.
			bool		resize_images;				///< Resize the images to match the network dimensions.
			bool		tile_images;				///< Tile the images to match the network dimensions.
			bool		zoom_images;				///< Zoom images.
			/// @}

			bool		limit_negative_samples;		///< whether negative samples will be limited to 50% of the training images
			bool		recalculate_anchors;		///< whether darknet will be called to recalculate anchors
			int			anchor_clusters;			///< number of anchor clusters to use (default is 9)
			bool		class_imbalance;			///< whether counters_per_class will be added to each yolo section
			bool		restart_training;			///< whether training should use the previous *_best.weights file or start new
			bool		delete_temp_weights;		///< whether the temporary .weights files should be deleted once training has finished
			float		saturation;
			float		exposure;
			float		hue;						///< between 0.0 and 1.0
			bool		enable_flip;				///< when @p TRUE, flip will be set to @p 1, otherwise flip will be set to zero
			int			angle;						///< rotation angle, or zero to disable
			bool		enable_mosaic;
			bool		enable_cutmix;
			bool		enable_mixup;

			ProjectInfo(const std::string & prefix);

			/** Rebuild all the paths, but without changing the project name/dir.  For example, perhaps the location of the darknet
			 * directory was changed, which would require some of the template paths to be updated.
			 */
			ProjectInfo & rebuild();

			/** Rebuild all of the filenames and paths based on the given project directory.  For example, if the project
			 * parameter passed in is @p "/home/bob/nn/flowers/" then the project name will be set to "flowers" and all of the
			 * paths will be similar to @p /home/bob/nn/flowers/flowers*.
			 */
			ProjectInfo & rebuild(const std::string & project_directory);
	};
}
